Vehicle vibration data in the frequency domain

Vibration data from 17 distinct vehicles were collected on public roads, considering four different pavement profiles. The measurements were obtained using triaxial accelerometers, with recordings in the longitudinal and vertical directions of the vehicle. The acquired signals were previously subjected to filtering and smoothing treatment, ensuring improved data quality and consistency. Subsequently, this dataset was structured and used for training neural network models.